Other packages > Find by keyword >

gittargets  

Data Version Control for the Targets Package
View on CRAN: Click here


Download and install gittargets package within the R console
Install from CRAN:
install.packages("gittargets")

Install from Github:
library("remotes")
install_github("cran/gittargets")

Install by package version:
library("remotes")
install_version("gittargets", "0.0.7")



Attach the package and use:
library("gittargets")
Maintained by
William Michael Landau
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-01-13
Latest Update: 2023-12-04
Description:
In computationally demanding data analysis pipelines, the 'targets' R package (2021, ) maintains an up-to-date set of results while skipping tasks that do not need to rerun. This process increases speed and increases trust in the final end product. However, it also overwrites old output with new output, and past results disappear by default. To preserve historical output, the 'gittargets' package captures version-controlled snapshots of the data store, and each snapshot links to the underlying commit of the source code. That way, when the user rolls back the code to a previous branch or commit, 'gittargets' can recover the data contemporaneous with that commit so that all targets remain up to date.
How to cite:
William Michael Landau (2022). gittargets: Data Version Control for the Targets Package. R package version 0.0.7, https://cran.r-project.org/web/packages/gittargets. Accessed 05 Mar. 2026.
Previous versions and publish date:
0.0.1 (2022-01-13 09:32), 0.0.3 (2022-02-13 01:50), 0.0.4 (2022-08-05 12:40), 0.0.5 (2022-09-06 22:30), 0.0.6 (2023-02-09 15:50)
Other packages that cited gittargets R package
View gittargets citation profile
Other R packages that gittargets depends, imports, suggests or enhances
Complete documentation for gittargets
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

roccv  
ROC for Cross Validation Results
Cross validate large genetic data while specifying clinical variables that should always be in the m ...
Download / Learn more Package Citations See dependency  
imagefx  
Extract Features from Images
Synthesize images into characteristic features for time-series analysis or machine learning applicat ...
Download / Learn more Package Citations See dependency  
diffIRT  
Diffusion IRT Models for Response and Response Time Data
Package to fit diffusion-based IRT models to response and response time data. Models are fit using ...
Download / Learn more Package Citations See dependency  
ClimClass  
Climate Classification According to Several Indices
Classification of climate according to Koeppen - Geiger, of aridity indices, of continentality indi ...
Download / Learn more Package Citations See dependency  
neat  
Efficient Network Enrichment Analysis Test
Includes functions and examples to compute NEAT, the Network Enrichment Analysis Test described in ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  

26,264

R Packages

223,360

Dependencies

70,244

Author Associations

26,265

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA